U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add U.S. Census Housing — Home Values, Rent & Real Estate Data as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to U.S. Census Housing — Home Values, Rent & Real Estate Data. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in U.S. Census Housing — Home Values, Rent & Real Estate Data?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server
U.S. Census housing data.
LlamaIndex agents combine U.S. Census Housing — Home Values, Rent & Real Estate Data tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
5 Tools
- Housing by State — Values, rent, ownership
- Housing by County — Drill down into local markets
- State Profile — Full socioeconomic snapshot
- County Profile — Deep dive into specific counties
- Query Census — Run any custom API query
Authentication
Requires a free API key from the Census Bureau.The U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server exposes 5 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect U.S. Census Housing — Home Values, Rent & Real Estate Data to LlamaIndex via MCP
Follow these steps to integrate the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 5 tools from U.S. Census Housing — Home Values, Rent & Real Estate Data
Why Use LlamaIndex with the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server
LlamaIndex provides unique advantages when paired with U.S. Census Housing — Home Values, Rent & Real Estate Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine U.S. Census Housing — Home Values, Rent & Real Estate Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain U.S. Census Housing — Home Values, Rent & Real Estate Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query U.S. Census Housing — Home Values, Rent & Real Estate Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what U.S. Census Housing — Home Values, Rent & Real Estate Data tools were called, what data was returned, and how it influenced the final answer
U.S. Census Housing — Home Values, Rent & Real Estate Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server delivers measurable value.
Hybrid search: combine U.S. Census Housing — Home Values, Rent & Real Estate Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query U.S. Census Housing — Home Values, Rent & Real Estate Data to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying U.S. Census Housing — Home Values, Rent & Real Estate Data for fresh data
Analytical workflows: chain U.S. Census Housing — Home Values, Rent & Real Estate Data queries with LlamaIndex's data connectors to build multi-source analytical reports
U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect U.S. Census Housing — Home Values, Rent & Real Estate Data to LlamaIndex via MCP:
get_county_profile
Get a comprehensive profile for a specific county
get_housing_by_county
Essential for real estate investors, developers, and market researchers. Get housing data for all counties in a state — values, rent, ownership
get_housing_by_state
renter-occupied, and vacant units for every state. The #1 dataset for real estate market analysis. Get housing data for all states — home values, rent, ownership rates, vacancies
get_state_profile
One query = complete state intelligence. Get a comprehensive socioeconomic profile for a state — population, income, housing, demographics
query_census
Specify ACS variables (e.g., B01003_001E for population), geography (state:*, county:*, place:*), optional in-clause for filtering, year, and dataset path. See api.census.gov/data.html for all available datasets and variables. Run a custom Census API query — any dataset, variables, and geography
Example Prompts for U.S. Census Housing — Home Values, Rent & Real Estate Data in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with U.S. Census Housing — Home Values, Rent & Real Estate Data immediately.
"What is the median home value in California?"
"How many houses are vacant in Nevada?"
"Use a custom query to find the renter to ownership ratio in Ohio"
Troubleshooting U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with LlamaIndex
Common issues when connecting U.S. Census Housing — Home Values, Rent & Real Estate Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpU.S. Census Housing — Home Values, Rent & Real Estate Data + LlamaIndex FAQ
Common questions about integrating U.S. Census Housing — Home Values, Rent & Real Estate Data MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect U.S. Census Housing — Home Values, Rent & Real Estate Data with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect U.S. Census Housing — Home Values, Rent & Real Estate Data to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.